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Volumn , Issue , 2008, Pages

Progressive mixture rules are deviation suboptimal

Author keywords

[No Author keywords available]

Indexed keywords

BEST FUNCTION; CONVERGENCE RATES; GENERALIZATION ERROR; LEARNING TASKS; LEAST SQUARE; LOSS FUNCTIONS; MIXTURE RULES; PREDICTION FUNCTION; REFERENCE SET; TRAINING SETS;

EID: 85161973198     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (37)

References (17)
  • 2
    • 0002168687 scopus 로고
    • Are bayes rules consistent in information?
    • T.M. Cover and B. Gopinath, editors. Springer
    • A. Barron. Are bayes rules consistent in information? In T.M. Cover and B. Gopinath, editors, Open Problems in Communication and Computation, pages 85-91. Springer, 1987.
    • (1987) Open Problems in Communication and Computation , pp. 85-91
    • Barron, A.1
  • 4
    • 0033233737 scopus 로고    scopus 로고
    • Information-theoretic determination of minimax rates of convergence
    • A. Barron and Y. Yang. Information-theoretic determination of minimax rates of convergence. Ann. Stat., 27(5):1564-1599, 1999.
    • (1999) Ann. Stat. , vol.27 , Issue.5 , pp. 1564-1599
    • Barron, A.1    Yang, Y.2
  • 6
    • 0033228662 scopus 로고    scopus 로고
    • The progressive mixture estimator for regression trees
    • G. Blanchard. The progressive mixture estimator for regression trees. Ann. Inst. Henri Poincaré, Probab. Stat., 35(6):793-820, 1999.
    • (1999) Ann. Inst. Henri Poincaré, Probab. Stat. , vol.35 , Issue.6 , pp. 793-820
    • Blanchard, G.1
  • 7
    • 0004599527 scopus 로고    scopus 로고
    • Combining different procedures for adaptive regression
    • Y. Yang. Combining different procedures for adaptive regression. Journal of multivariate analysis, 74:135-161, 2000.
    • (2000) Journal of Multivariate Analysis , vol.74 , pp. 135-161
    • Yang, Y.1
  • 9
    • 33746103483 scopus 로고    scopus 로고
    • Preprint n.1034, Laboratoire de Probabilités et Modèles Aléatoires, Universités Paris 6 and Paris 7
    • A. Juditsky, P. Rigollet, and A.B. Tsybakov. Learning by mirror averaging. Preprint n.1034, Laboratoire de Probabilités et Modèles Aléatoires, Universités Paris 6 and Paris 7, 2005.
    • (2005) Learning by Mirror Averaging
    • Juditsky, A.1    Rigollet, P.2    Tsybakov, A.B.3
  • 12
    • 0032164946 scopus 로고    scopus 로고
    • Sequential prediction of individual sequences under general loss functions
    • PII S0018944898047865
    • D. Haussler, J. Kivinen, and M. K.Warmuth. Sequential prediction of individual sequences under general loss functions. IEEE Trans. on Information Theory, 44(5):1906-1925, 1998. (Pubitemid 128738560)
    • (1998) IEEE Transactions on Information Theory , vol.44 , Issue.5 , pp. 1906-1925
    • Haussler, D.1    Kivinen, J.2    Warmuth, M.K.3
  • 14
    • 21144432799 scopus 로고    scopus 로고
    • Model selection in nonparametric regression
    • M. Wegkamp. Model selection in nonparametric regression. Ann. Stat., 31(1):252-273, 2003.
    • (2003) Ann. Stat. , vol.31 , Issue.1 , pp. 252-273
    • Wegkamp, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.